Rotated Binary Neural Network

NIPS 2020, 2020.

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Extensive experiments have demonstrated the efficacy of our Rotated Binary Neural Network in reducing the quantization error, and its superiorities over several SOTAs

Abstract:

Binary Neural Network (BNN) shows its predominance in reducing the complexity of deep neural networks. However, it suffers severe performance degradation. One of the major impediments is the large quantization error between the full-precision weight vector and its binary vector. Previous works focus on compensating for the norm gap whil...More

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